ArticleJournal of applied crystallography2016
Robust background modelling in
Article in Journal of applied crystallography, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Standards for MicroED.Acta crystallographica. Section C, Structural chemistry · 2025Article
- Structure and membrane interactions of Arabidopsis thaliana DGD2, a glycosyltransferase in the chloroplast membrane.The Journal of biological chemistry · 2025Article
- Robust error calibration for serial crystallography.Acta crystallographica. Section D, Structural biology · 2025Article
- Virtual fragment screening for DNA repair inhibitors in vast chemical space.Nature communications · 2025Article
- Robust image descriptor for machine learning based data reduction in serial crystallography.Journal of applied crystallography · 2024Article
- Increasing the bulk of the 1TEL-target linker and retaining the 10×His tag in a 1TEL-CMG2-vWa construct improves crystal order and diffraction limits.Acta crystallographica. Section D, Structural biology · 2023Article
- A Python package based on robust statistical analysis for serial crystallography data processing.Acta crystallographica. Section D, Structural biology · 2023Article
- Article
- Data reduction for X-ray serial crystallography using machine learning.Journal of applied crystallography · 2023Article
- Optimization of N-Piperidinyl-Benzimidazolone Derivatives as Potent and Selective Inhibitors of 8-Oxo-Guanine DNA Glycosylase 1.ChemMedChem · 2023Article
- Pharmacological targeting of MTHFD2 suppresses acute myeloid leukemia by inducing thymidine depletion and replication stress.Nature cancer · 2022Article
- Structural and Biochemical Investigation of Class I Ribonucleotide Reductase from the HyperthermophileBiochemistry · 2022Article
- Structure and Function of a Dual Reductase-Dehydratase Enzyme System Involved inACS chemical biology · 2021Article
- 3D Electron Diffraction for Chemical Analysis: Instrumentation Developments and Innovative Applications.Chemical reviews · 2021Review
- Data reduction for serial crystallography using a robust peak finder.Journal of applied crystallography · 2021Article
- An Overview of Microcrystal Electron Diffraction (MicroED).Annual review of biochemistry · 2021Review
- Ice in biomolecular cryocrystallography.Acta crystallographica. Section D, Structural biology · 2021Article
- Targeting OGG1 arrests cancer cell proliferation by inducing replication stress.Nucleic acids research · 2020Article
- Structure-Guided Engineering of the Homodimeric Mango-IV Fluorescence Turn-on Aptamer Yields an RNA FRET Pair.Structure (London, England : 1993) · 2020Article
- MutT homologue 1 (MTH1) removes N6-methyl-dATP from the dNTP pool.The Journal of biological chemistry · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
A method for estimating the background under each reflection during integration that is robust in the presence of pixel outliers is presented. The method uses a generalized linear model approach that is more appropriate for use with Poisson distributed data than traditional approaches to pixel outlier handling in integration programs. The algorithm is most applicable to data with a very low background level where assumptions of a normal distribution are no longer valid as an approximation to the Poisson distribution. It is shown that traditional methods can result in the systematic underestimation of background values. This then results in the reflection intensities being overestimated and gives rise to a change in the overall distribution of reflection intensities in a dataset such that too few weak reflections appear to be recorded. Statistical tests performed during data reduction may mistakenly attribute this to merohedral twinning in the crystal. Application of the robust generalized linear model algorithm is shown to correct for this bias.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.